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Sensor-Based Optimized Control of the Full Load Instability in Large Hydraulic Turbines

机译:基于传感器的大型水轮机满负荷不稳定性的优化控制

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摘要

Hydropower plants are of paramount importance for the integration of intermittent renewable energy sources in the power grid. In order to match the energy generated and consumed, Large hydraulic turbines have to work under off-design conditions, which may lead to dangerous unstable operating points involving the hydraulic, mechanical and electrical system. Under these conditions, the stability of the grid and the safety of the power plant itself can be compromised. For many Francis Turbines one of these critical points, that usually limits the maximum output power, is the full load instability. Therefore, these machines usually work far away from this unstable point, reducing the effective operating range of the unit. In order to extend the operating range of the machine, working closer to this point with a reasonable safety margin, it is of paramount importance to monitor and to control relevant parameters of the unit, which have to be obtained with an accurate sensor acquisition strategy. Within the framework of a large EU project, field tests in a large Francis Turbine located in Canada (rated power of 444 MW) have been performed. Many different sensors were used to monitor several working parameters of the unit for all its operating range. Particularly for these tests, more than 80 signals, including ten type of different sensors and several operating signals that define the operating point of the unit, were simultaneously acquired. The present study, focuses on the optimization of the acquisition strategy, which includes type, number, location, acquisition frequency of the sensors and corresponding signal analysis to detect the full load instability and to prevent the unit from reaching this point. A systematic approach to determine this strategy has been followed. It has been found that some indicators obtained with different types of sensors are linearly correlated with the oscillating power. The optimized strategy has been determined based on the correlation characteristics (linearity, sensitivity and reactivity), the simplicity of the installation and the acquisition frequency necessary. Finally, an economic and easy implementable protection system based on the resulting optimized acquisition strategy is proposed. This system, which can be used in a generic Francis turbine with a similar full load instability, permits one to extend the operating range of the unit by working close to the instability with a reasonable safety margin.
机译:水力发电厂对于将间歇性可再生能源整合到电网中至关重要。为了匹配产生和消耗的能量,大型水轮机必须在非设计条件下工作,这可能导致危险的不稳定工作点,涉及液压,机械和电气系统。在这些条件下,电网的稳定性和电厂本身的安全性可能会受到损害。对于许多弗朗西斯涡轮机来说,这些临界点之一(通常会限制最大输出功率)是满负荷不稳定性。因此,这些机器通常在远离该不稳定点的地方工作,从而减小了设备的有效工作范围。为了扩大机器的工作范围,并以合理的安全裕度在此点附近工作,监视和控制设备的相关参数至关重要,而这些参数必须通过准确的传感器采集策略来获得。在一个大型欧盟项目的框架内,已对位于加拿大的大型弗朗西斯涡轮机(额定功率444兆瓦)进行了现场测试。许多不同的传感器用于监视设备在其所有工作范围内的几个工作参数。特别是对于这些测试,同时获取了80多个信号,其中包括十种类型的不同传感器以及定义该单元工作点的几个操作信号。本研究着重于获取策略的优化,包括类型,数量,位置,传感器的获取频率以及相应的信号分析,以检测满载不稳定性并防止单元到达这一点。遵循了确定该策略的系统方法。已经发现,使用不同类型的传感器获得的一些指示器与振荡功率线性相关。根据相关特性(线性,灵敏度和反应性),安装的简便性和所需的采集频率来确定优化策略。最后,提出了一种基于最终优化的获取策略的经济,易于实施的保护系统。该系统可用于具有类似全负荷不稳定性的通用弗朗西斯涡轮机,该系统通过在不稳定性附近工作并具有合理的安全裕度,可以扩展机组的工作范围。

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